{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.utils.data import Dataset, DataLoader, ConcatDataset\n",
    "import torchvision\n",
    "from torchvision import transforms\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "from PIL import Image\n",
    "from IPython.display import clear_output\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# Define file path\n",
    "\n",
    "train_dir = '../dataset/dogs-vs-cats/train'\n",
    "val_dir = '../dataset/dogs-vs-cats/val'\n",
    "test_dir = '../dataset/dogs-vs-cats/test'\n",
    "train_files = os.listdir(train_dir)\n",
    "val_files = os.listdir(val_dir)\n",
    "# test_files = os.listdir(test_dir)\n",
    "test_files = [str(i)+'.jpg' for i in range(2000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "# Hyperparameters #\n",
    "\n",
    "learning_rate = 1e-3\n",
    "scheduler_gamma = 0.5\n",
    "milestones = [8, 16, 24]\n",
    "batch_size = 16\n",
    "epochs = 30\n",
    "\n",
    "# Hyperparameters #\n",
    "\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# Define class to get image\n",
    "\n",
    "class DogCatDataset(Dataset):\n",
    "    def __init__(self, file_list, file_dir, mode = 'train', transform = None):\n",
    "        self.file_list = file_list\n",
    "        self.file_dir = file_dir\n",
    "        self.mode = mode\n",
    "        self.transform = transform\n",
    "        if self.mode == 'train':\n",
    "            self.label = 1 if 'dog' in self.file_list[0] else 0\n",
    "    \n",
    "    def __getitem__(self, idx):\n",
    "        img = Image.open(os.path.join(self.file_dir, self.file_list[idx]))\n",
    "        if self.transform:\n",
    "            img = self.transform(img)\n",
    "        # img = img.numpy().astype('float32')\n",
    "        if self.mode == 'train':\n",
    "            return img, self.label\n",
    "        else:\n",
    "            return img, self.file_list[idx]\n",
    "    \n",
    "    def __len__(self):\n",
    "        return len(self.file_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# Image preprocessing: transform\n",
    "\n",
    "image_transform = dict(train = transforms.Compose([\n",
    "                                transforms.Resize(256),\n",
    "                                transforms.ColorJitter(),\n",
    "                                transforms.RandomCrop(224),\n",
    "                                transforms.RandomHorizontalFlip(),\n",
    "                                transforms.RandomVerticalFlip(),\n",
    "                                transforms.ToTensor(),\n",
    "                                transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "                            ]),\n",
    "                       val = transforms.Compose([\n",
    "                                # if the type is Interger, scaling by proportion.\n",
    "                                # if the type is tuple, scaling by the parameter of the tuple\n",
    "                                transforms.Resize((224,224)),\n",
    "                                transforms.ToTensor(),\n",
    "                                transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "                            ]),\n",
    "                       test = transforms.Compose([\n",
    "                                transforms.Resize((224,224)),\n",
    "                                transforms.ToTensor()\n",
    "                            ])\n",
    "                      )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# define dataloader\n",
    "\n",
    "train_dog_files = [file_list for file_list in train_files if 'dog' in file_list]\n",
    "train_cat_files = [file_list for file_list in train_files if 'cat' in file_list]\n",
    "val_dog_files = [file_list for file_list in val_files if 'dog' in file_list]\n",
    "val_cat_files = [file_list for file_list in val_files if 'cat' in file_list]\n",
    "\n",
    "dataset = dict(train = ConcatDataset([\n",
    "                    DogCatDataset(train_dog_files, train_dir, transform=image_transform['train']),\n",
    "                    DogCatDataset(train_cat_files, train_dir, transform=image_transform['train'])]),\n",
    "                val = ConcatDataset([\n",
    "                    DogCatDataset(val_dog_files, val_dir, transform=image_transform['val']),\n",
    "                    DogCatDataset(val_cat_files, val_dir, transform=image_transform['val'])]),\n",
    "               test = DogCatDataset(test_files, test_dir, mode='test', transform=image_transform['test'])\n",
    "              )\n",
    "\n",
    "dataloader = dict(train = DataLoader(dataset['train'], batch_size=batch_size, shuffle=True, num_workers=2),\n",
    "                  # if you use docker, you can define '--shm-size' when you do option of 'docker run' to \n",
    "                  # increase the memory, which means increase the 'num_wokers and batch_size'.\n",
    "                  # if you use rancher to manage you container, it's a little troublesome to achieve it.\n",
    "                  val = DataLoader(dataset['val'], batch_size=batch_size, shuffle=True, num_workers=2),\n",
    "                  test = DataLoader(dataset['test'], batch_size=batch_size, shuffle=False, num_workers=2)\n",
    "            )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data visualization\n",
    "\n",
    "samples, labels = next(iter(dataloader['val']))\n",
    "num_imgs = 8\n",
    "grid_imgs = torchvision.utils.make_grid(samples[:num_imgs])\n",
    "\n",
    "mean, std = np.array([0.485, 0.456, 0.406]), np.array([0.229, 0.224, 0.225])\n",
    "grid_imgs = np.clip(grid_imgs.numpy().transpose((1,2,0)) * std + mean, 0, 1)\n",
    "\n",
    "plt.figure(figsize=(20,16))\n",
    "plt.imshow(grid_imgs)\n",
    "plt.axis('off')\n",
    "plt.title(['              dog             ' if i==1 else '              cat             ' \n",
    "           for i in labels[:num_imgs].numpy()])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3 main approaches:\n",
    "1. freeze the pretrained model, train your classifier on top of it.\n",
    "2. unfreeze the layers that we want to train of pretrained model.\n",
    "3. use a pretrained model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# Train\n",
    "\n",
    "def train(model, dataloader, criterion, optimizer, scheduler):\n",
    "    train_loss_list, train_acc_list, val_loss_list, val_acc_list = [], [], [], []\n",
    "    for epoch in range(epochs):\n",
    "        loss_tmp, acc_tmp = [], []\n",
    "        for samples, labels in dataloader[\"train\"]:\n",
    "            samples, labels = samples.to(device), labels.to(device)\n",
    "            output = model(samples)\n",
    "            \n",
    "            pred = output.argmax(1)\n",
    "            correct = pred.eq(labels)\n",
    "            acc = torch.mean(correct.float())\n",
    "            acc_tmp.append(acc.item())\n",
    "            \n",
    "            loss = criterion(output, labels)\n",
    "            optimizer.zero_grad()\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "            loss_tmp.append(loss.item())\n",
    "        \n",
    "        loss_mean = np.array(loss_tmp).mean()\n",
    "        acc_mean = np.array(acc_tmp).mean()\n",
    "        train_loss_list.append(loss_mean)\n",
    "        train_acc_list.append(acc_mean)\n",
    "        \n",
    "        loss_tmp, acc_tmp = [], []\n",
    "        with torch.no_grad():\n",
    "            for samples, labels in dataloader[\"val\"]:\n",
    "                samples, labels = samples.to(device), labels.to(device)\n",
    "                output = model(samples)\n",
    "                \n",
    "                pred = output.argmax(1)\n",
    "                correct = pred.eq(labels)\n",
    "                acc = torch.mean(correct.float())\n",
    "                acc_tmp.append(acc.item())\n",
    "                \n",
    "                loss = criterion(output, labels)\n",
    "                loss_tmp.append(loss.item())\n",
    "        \n",
    "        val_loss_mean = np.array(loss_tmp).mean()\n",
    "        val_acc_mean = np.array(acc_tmp).mean()\n",
    "        val_loss_list.append(val_loss_mean)\n",
    "        val_acc_list.append(val_acc_mean)\n",
    "\n",
    "        scheduler.step()\n",
    "        print(\"Epoch {}/{} - Loss {}, Acc {} - Val_Loss {}, Val_Acc {} \"\n",
    "              .format(epoch+1, epochs, round(loss_mean, 4), round(acc_mean, 4),\n",
    "                      round(val_loss_mean, 4), round(val_acc_mean, 4)))\n",
    "              \n",
    "    plot(dict(\n",
    "        loss=train_loss_list,\n",
    "        acc=train_acc_list,\n",
    "        val_loss=val_loss_list, \n",
    "        val_acc=val_acc_list\n",
    "    ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# Plot\n",
    "\n",
    "def plot(loss_acc):\n",
    "#     clear_output(True)\n",
    "    plt.figure(figsize=(16, 6))\n",
    "    \n",
    "    plt.subplot(121)\n",
    "    plt.plot(loss_acc[\"loss\"], label='train')\n",
    "    plt.plot(loss_acc[\"val_loss\"], label='val')\n",
    "    plt.xlabel(\"Epochs\")\n",
    "    plt.ylabel(\"Loss\")\n",
    "    plt.legend()\n",
    "    plt.title('Train Loss, {} - Val Loss, {}'\n",
    "              .format(np.array(loss_acc[\"loss\"]).mean(),\n",
    "                     np.array(loss_acc[\"val_loss\"]).mean()))\n",
    "    \n",
    "    plt.subplot(122)\n",
    "    plt.plot(loss_acc[\"acc\"], label='train')\n",
    "    plt.plot(loss_acc[\"val_acc\"], label='val')\n",
    "    plt.xlabel(\"Epochs\")\n",
    "    plt.ylabel(\"Accuracy\")\n",
    "    plt.legend()\n",
    "    plt.title('Train Acc, {} - Val Acc, {}'\n",
    "              .format(np.array(loss_acc[\"acc\"]).mean(),\n",
    "                     np.array(loss_acc[\"val_acc\"]).mean()))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Define model\n",
    "\n",
    "# keep in mind that ConvNet features are more generic in early layers\n",
    "# and more original-dateset-specific in later layers.\n",
    "# if the dataset is small and similar to original dataset(Imagnet),\n",
    "# you'd better to fine-tune the later layers due to overfitting concerns.\n",
    "model = torchvision.models.resnet152()\n",
    "model.load_state_dict(torch.load(\"../pretrained_model/resnet152-b121ed2d.pth\"))\n",
    "\n",
    "# ct = 0\n",
    "# for child in model_ft.children():\n",
    "# ct += 1\n",
    "# if ct < 7:\n",
    "#     for param in child.parameters():\n",
    "#         param.requires_grad = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0mTraceback (most recent call last)",
      "\u001b[0;32m<ipython-input-11-1a8e6a18b2ba>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     18\u001b[0m                                            gamma=scheduler_gamma)\n\u001b[1;32m     19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m \u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataloader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcriterion\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscheduler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-8-2eb3f406687c>\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(model, dataloader, criterion, optimizer, scheduler)\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0msamples\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdataloader\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"train\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m             \u001b[0msamples\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msamples\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m             \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m             \u001b[0mpred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    545\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    546\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 547\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    548\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    549\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torchvision/models/resnet.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m    201\u001b[0m         \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlayer1\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    202\u001b[0m         \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlayer2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 203\u001b[0;31m         \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlayer3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    204\u001b[0m         \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlayer4\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    205\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    545\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    546\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 547\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    548\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    549\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torch/nn/modules/container.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, input)\u001b[0m\n\u001b[1;32m     90\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     91\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mmodule\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_modules\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 92\u001b[0;31m             \u001b[0minput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodule\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     93\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    545\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    546\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 547\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    548\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    549\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torchvision/models/resnet.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m    100\u001b[0m         \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrelu\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    101\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 102\u001b[0;31m         \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconv2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    103\u001b[0m         \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbn2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    104\u001b[0m         \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrelu\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    545\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    546\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 547\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    548\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    549\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torch/nn/modules/conv.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, input)\u001b[0m\n\u001b[1;32m    341\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    342\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 343\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconv2d_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mweight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    344\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    345\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mConv3d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_ConvNd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/torch/nn/modules/conv.py\u001b[0m in \u001b[0;36mconv2d_forward\u001b[0;34m(self, input, weight)\u001b[0m\n\u001b[1;32m    338\u001b[0m                             _pair(0), self.dilation, self.groups)\n\u001b[1;32m    339\u001b[0m         return F.conv2d(input, weight, self.bias, self.stride,\n\u001b[0;32m--> 340\u001b[0;31m                         self.padding, self.dilation, self.groups)\n\u001b[0m\u001b[1;32m    341\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    342\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# approache one : train model.fc\n",
    "\n",
    "for param in model.parameters():\n",
    "    param.requires_grad = False\n",
    "    \n",
    "model.fc = nn.Sequential(\n",
    "    nn.Linear(model.fc.in_features, 512),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(512, 2)\n",
    ")\n",
    "\n",
    "model = model.to(device)\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.Adam(filter(lambda p: p.requires_grad, model.parameters()), \n",
    "                       lr=learning_rate, amsgrad=True)\n",
    "# learning_rate multiply 0.5 when epoch equal 500, 1000, 1500 respectively\n",
    "scheduler = optim.lr_scheduler.MultiStepLR(optimizer, milestones=milestones,\n",
    "                                           gamma=scheduler_gamma)\n",
    "\n",
    "train(model, dataloader, criterion, optimizer, scheduler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0
    ],
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# approache tow : train model.fc && avgpool && layer4\n",
    "\n",
    "for param in model.avgpool.parameters():\n",
    "    param.requires_grad = True\n",
    "for param in model.layer4.parameters():\n",
    "    param.requires_grad = True\n",
    "\n",
    "optimizer = optim.Adam(filter(lambda p: p.requires_grad, model.parameters()), \n",
    "                       lr=learning_rate, amsgrad=True)\n",
    "# learning_rate multiply 0.5 when epoch equal 500, 1000, 1500 respectively\n",
    "scheduler = optim.lr_scheduler.MultiStepLR(optimizer, milestones=milestones,\n",
    "                                           gamma=scheduler_gamma)\n",
    "\n",
    "train(model, dataloader, criterion, optimizer, scheduler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0
    ],
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# approache three : train model.fc && avgpool && layer4 && layer3\n",
    "\n",
    "for param in model.layer3.parameters():\n",
    "    param.requires_grad = True\n",
    "\n",
    "optimizer = optim.Adam(filter(lambda p: p.requires_grad, model.parameters()), \n",
    "                       lr=learning_rate, amsgrad=True)\n",
    "# learning_rate multiply 0.5 when epoch equal 500, 1000, 1500 respectively\n",
    "scheduler = optim.lr_scheduler.MultiStepLR(optimizer, milestones=milestones,\n",
    "                                           gamma=scheduler_gamma)\n",
    "\n",
    "train(model, dataloader, criterion, optimizer, scheduler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# Save data(model and predict data)\n",
    "\n",
    "filename_pth = '../model/ckpt_resnet152_cat_dog_epoch_30.pth'\n",
    "torch.save(model.state_dict(), filename_pth)\n",
    "\n",
    "model.eval()\n",
    "pred_list = []\n",
    "for samples, labels in dataloader[\"test\"]:\n",
    "    with torch.no_grad():\n",
    "        pred = model(samples.to(device)).argmax(1)\n",
    "        pred_list += [p.item() for p in pred]\n",
    "        \n",
    "submission = pd.DataFrame({\n",
    "    \"id\" : range(len(pred_list)),\n",
    "    \"label\" : pred_list })\n",
    "submission.to_csv('preds_resnet152_epoch_30.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# Test and visualization\n",
    "\n",
    "samples, idx = next(iter(dataloader[\"test\"]))\n",
    "fig = plt.figure(figsize=(24, 16))\n",
    "fig.tight_layout()\n",
    "pred = model(samples[:24].to(device)).argmax(1).cpu().numpy()\n",
    "\n",
    "label = {0:'cat', 1:'dog'}\n",
    "for num, sample in enumerate(samples[:24]):\n",
    "    plt.subplot(4,6,num+1)\n",
    "    plt.title(label[pred[num]])\n",
    "    plt.axis('off')\n",
    "    plt.imshow(np.transpose(sample.cpu().numpy(), (1,2,0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reference links:\n",
    "[kaggle_startup_code_1](https://www.kaggle.com/jaeboklee/pytorch-cat-vs-dog)<br>\n",
    "[kaggle_startup_code_2](https://www.kaggle.com/yellowduck/transfer-learning-pytorch)<br>\n",
    "[transfer-learning-guide](https://www.kaggle.com/rajmehra03/a-comprehensive-guide-to-transfer-learning)<br>\n",
    "[pytorch_transforms](https://ptorch.com/docs/1/transforms)<br>\n",
    "[pytorch_learning_rate_scheduler](https://www.jianshu.com/p/9643cba47655)"
   ]
  }
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